Argentina · Liga Profesional · Sun 1 Mar 2026 22:15 UTC · All tips 1 Mar

Instituto AC Cordoba Instituto AC Cordoba
1 – 2
Full time
Union de Santa Fe Union de Santa Fe

Instituto AC Cordoba vs Union de Santa Fe betting tips

Instituto AC Cordoba vs Union de Santa Fe finished 1-2. Moderate historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.

What are the tips for Instituto AC Cordoba vs Union de Santa Fe?

Over/Under 3.5
Pick: Under 3.5 · Odds 1.13 · Prob 76%
VIP Won
1X2
Pick: Final Time 1X · Odds 1.31 · Prob 72%
VIP Lost
Home Over/Under 1.5
Pick: Home Under 1.5 · Prob 63%
VIP Won
Over/Under 2.5
Pick: Under 2.5 · Odds 1.40 · Prob 61%
VIP Lost
Both Teams To Score
Pick: BTTS No · Odds 1.59 · Prob 57%
VIP Lost

Match insights: form, goals and model lean

Model lean

Under 3.5 76% Other 24%

Head to head (3)

0Instituto AC Cordoba
2Draws
1Union de Santa Fe

Recent form

Instituto AC Cordoba
W L D D D W D L
10 pts / 8
Union de Santa Fe
W W D L L D D D D
11 pts / 9

Goals (avg last matches)

0.6 / 0.4 Instituto AC Cordoba scored / conceded
0.8 / 0.7 Union de Santa Fe scored / conceded

Tip analysis

Moderate historical data available. Strong lean toward Under 3.5 based on recent scoring patterns.

Previous meetings and recent results

Who will win Instituto AC Cordoba vs Union de Santa Fe?

34 community votes

53% Instituto AC Cordoba
18% Draw
29% Union de Santa Fe

Voting closed

Frequently asked questions

Who will win Instituto AC Cordoba vs Union de Santa Fe?

Our model currently leans Under 3.5 with about 76% confidence. See free and VIP markets below.

What are the odds for Instituto AC Cordoba vs Union de Santa Fe?

The featured free market shows odds around 1.13 (decimal). Switch odds format in the header if you prefer American or Fractional.

Where can I see H2H and recent form?

Scroll to Insights and H2H on this page for head-to-head results, recent W/D/L form, and goal averages when enough history is available.

Last updated 11 Nov 2026 22:46 UTC · Insights built from Betting Tips historical predictions · Data quality: thin